Visual attribute recognition method and device and storage medium

A technology of visual attributes and recognition methods, applied in character and pattern recognition, instruments, biological neural network models, etc., can solve problems such as hazards and achieve the effect of improving accuracy

Active Publication Date: 2019-03-08
SHANGHAI QINIU INFORMATION TECH
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Problems solved by technology

A potential difficulty is that sharing hidden layers between unrelated tasks may harm the performance of a

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  • Visual attribute recognition method and device and storage medium
  • Visual attribute recognition method and device and storage medium
  • Visual attribute recognition method and device and storage medium

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Embodiment Construction

[0028] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Apparently, the described embodiments are only some of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without making creative efforts belong to the scope of protection of this application.

[0029] see figure 1 , figure 1 It is a schematic flow diagram of the visual attribute recognition method provided in the embodiment of the present application, and the flow may include:

[0030] 101. Use the first part of the preset neural network model to acquire basic visual information of the target image.

[0031] The preset neural network includes at least two parts, namely the first part and the second part. The input information of the first part is the target image, an...

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Abstract

Embodiments of the present application provide a visual attribute recognition method and device and a medium. The method includes acquiring basic visual information of a target image by using a firstpart of a preset neural network model; using the second part of the preset neural network model to obtain the global visual information and the local visual information; according to the importance ofeach feature in the local vision information, processing the local vision information to obtain the first local adjustment information; according to the importance of each feature in the global vision information, processing the global vision information to obtain the first global adjustment information; adjusting the global vision information according to the first local adjustment information to obtain the adjusted global vision information; adjusting the local vision information according to the first global adjustment information to obtain the adjusted local vision information, and performing the visual attribute recognition on the target image according to the adjusted global vision information or/and the local vision information. The accuracy of visual attribute recognition can be improved.

Description

technical field [0001] The present application relates to the technical field of visual attribute recognition, and in particular to a visual attribute recognition method, device and storage medium. Background technique [0002] Visual attributes can be defined as mid-level semantic visual concepts, such as pointed nose and big eyes as facial attributes, and height and clothing style as pedestrian attributes. In recent years, visual attribute recognition has attracted more and more research interest, because the use of identified attributes can help advanced vision tasks such as zero-shot learning and person re-identification, or use these attributes alone for video surveillance and popular Apparel recommended. [0003] Many existing methods treat attribute recognition as a multi-task learning (MTL) problem and leverage deep neural networks (DNNs) to achieve state-of-the-art results, where each attribute recognition problem is considered as a task. DNN-based MTL methods usu...

Claims

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Application Information

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IPC IPC(8): G06K9/46G06N3/04
CPCG06V10/44G06V2201/07G06N3/045
Inventor 邬彦泽彭垚李斌薛向阳
Owner SHANGHAI QINIU INFORMATION TECH
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